The rise of new techniques, such as mobile sensing, data analytics, and blockchain, have brought wonderful opportunities to process big data collected from mobile sensors and provide resources and services on an intelligent basis. This talk will share my experience in developing state-of-the-art methods to extract valuable information from a large amount of sensing data to support various location based services and provide efficient query services for blockchain system. Topics of this talk will include automatic indoor floor plan construction, outdoor map update, urban safety index map construction, and efficient and verifiable query services for blockchain systems. Validation results will be presented to demonstrate the effectiveness of our methods.

Biography

Zhe PENG is a researcher in Big Data and Blockchain R&D Center at SF Technology. He received Ph.D. degree in Computer Science from the Hong Kong Polytechnic University in 2018. He obtained MSc degree from University of Science and Technology of China and BSc degree from Northwestern Polytechnical University, in 2013 and 2010 respectively. Dr. Peng was a visiting scholar at State University of New York at Stony Brook in 2017. His research interests include blockchain system, mobile computing, machine learning, and information security. Dr. Peng has published 3 patents and 20 publications in peer-reviewed journals and conference papers.